Apis, Microservices, Gcp, Distributed Systems, Azure, Kubernetes, AWS, security basics, DevOps practices, cloud-based products, observability stacks, infrastructure-as-code, container orchestration, serverless cloud platforms

Github, Release Management, Incident Response, Docker, Linux, Gitlab, Helm, Kubernetes, Reliability Engineering, Cloud-native Architecture, Infrastructure as Code, Container Registries, CI CD, Rancher, Artifact Management, Secure Software Supply-chain Practices, Observability

Machine Learning Algorithms, Python, R, Data analysis and visualization tools

data engineering , systems design , Sql, Deep Learning, MLops, Machine Learning, Databricks, Python, AI machine learning tools, Experimental Design, Vertex AI, Operations Research, Applied Optimization, Model Life Cycle Management, Analytics across functions

.NET, Java, Api Development, Node.js, Automated Testing, Angular, Microservices, Devops, React, Gcp, Azure, Python, AWS, Event-driven systems, CI CD, Cloud-native architectures, AI-assisted development tools

Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms

Hld, Solid Principles, Software Development Life Cycle, Lld, Docker, Mariadb, Agile Development Methodologies, Kubernetes, Clean Code, Code Reviews, People Management

snowflake , Cloudformation, Sql, Databricks, Java, Azure Synapse Analytics, Tableau, Azure Machine Learning, Spark Streaming, Power Bi, Node.js, Terraform, Apache Flink, Golang, Apache Spark, AWS, Python, Kubernetes, Amazon Kinesis, Docker, Apache Kafka, Microsoft Azure, Google Cloud Platform, Bicep, Looker, MLflow, Apache Pulsar, Microsoft Fabric, Google BigQuery, Amazon SageMaker